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@faun shared a link, 8 months, 1 week ago
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Estimate Your K8s Deployment Costs (Portainer Calculator)

A new TCO calculator breaks down what it really costs to run Kubernetes—DIY CNCF stacks, COSS platforms, and Portainer Business Edition. It crunches infra, labor, and software spend, then maps out staffing needs. It shows exactly where Portainer cuts Kubernetes bloat: itmaybe biased but it's worth t.. read more  

Estimate Your K8s Deployment Costs (Portainer Calculator)
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@faun shared a link, 8 months, 1 week ago
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How I Cut AWS Compute Costs by 70% with a Multi-Arch EKS Cluster and Karpenter

Swapping out Kubernetes Cluster Autoscaler forKarpentercut node launch times to under 20 seconds and dropped compute bills by 70%. The secret sauce? Smarter, faster spot instance scaling. Bonus perks: architecture-aware scheduling formulti-CPU (ARM64/x86)workloads—more performance, better utilizati.. read more  

How I Cut AWS Compute Costs by 70% with a Multi-Arch EKS Cluster and Karpenter
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@faun shared a link, 8 months, 1 week ago
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SUSE Adds Arm Support to HCI Platform for Running Monolithic Apps on Kubernetes

SUSE Virtualization 1.5 lands with64-bit Arm and Intelsupport,CSIstorage compatibility, and a tighter4-month release loopsynced with Kubernetes. Built on Harvester and KubeVirt, the update pushes harder on a clear trend: legacy VMs and cloud-native apps sharing the same Kubernetes real estate. Sys.. read more  

SUSE Adds Arm Support to HCI Platform for Running Monolithic Apps on Kubernetes
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@faun shared a link, 8 months, 1 week ago
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Scale AI/ML Workloads with Amazon EKS: Up to 100K Nodes

Amazon EKS just leveled up—clusters can now run withup to 100,000 nodeswith support ofKubernetes 1.30and up. That's not just big—it’s AI-and-ML-scale big. Cluster setup got a lot less manual, too. The AWS Console’s"auto mode"auto-builds your VPC and IAM configs.eksctlplugs right into the flow... read more  

Scale AI/ML Workloads with Amazon EKS: Up to 100K Nodes
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@faun shared a link, 8 months, 1 week ago
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AI is changing Kubernetes faster than most teams can keep up

AI workloads are taking over Kubernetes. Fastest-growing use case on the block. 90% of orgs expect that growth to keep climbing. 92% are betting on AI-driven ops tools to keep up. Edge Kubernetes? Up from 38% to 50% in a year. Real-time inference is pushing workloads closer to the source.System shif.. read more  

AI is changing Kubernetes faster than most teams can keep up
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@faun shared a link, 8 months, 1 week ago
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Kubernetes: Web UI Headlamp gets an AI assistant

Headlamp 0.34 drops an alphaAI Assistantplugin—natural language for your cluster, powered by OpenAI, Anthropic, or Mistral. Ask it to explain logs, troubleshoot issues, manage resources. It speaks Kubernetes, with tooling and model config baked in.System shift:Cluster UIs are getting chatty. Less cl.. read more  

Kubernetes: Web UI Headlamp gets an AI assistant
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@mmk4mmk_simplifies shared a link, 8 months, 1 week ago

Workload Identity Federation: The School Trip Analogy You’ll Remember

Secrets in repos, API keys in scripts, and forgotten credentials create massive security gaps. Workload Identity Federation (WIF) solves this with short-lived tokens and trust-based authentication across clouds.

To explain it clearly, I’ve put together a 2-minute video that uses a school trip analogy (students, teachers, and wristbands) to break it down step by step.

Video: https://youtu.be/UZa5LWndb8k

Reade more at : https://medium.com/@mmk4mmk.mrani/how-my-kids-school-trip-helped-me-understand-workload-identity-federation-f680a2f4672b

ChatGPT Image Aug 16, 2025, 05_51_02 PM_compressed
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@anjali shared a link, 8 months, 1 week ago
Customer Marketing Manager, Last9

Top 12 LogicMonitor Alternatives for Developers in 2025

LogicMonitor fits traditional infra, but for microservices, high-cardinality data, and Kubernetes, these 12 alternatives work better.

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@laura_garcia shared a post, 8 months, 1 week ago
Software Developer, RELIANOID

🎮 gamescom 2025 | Aug 20–24, Cologne

The world’s biggest gaming event is back—AAA reveals, indie gems, esports, VR/AR & more. RELIANOID powers secure, scalable gaming back-ends for real-time, high-volume play. Let’s connect in Cologne! #gamescom2025#GameDev#RELIANOID#Esports https://www.relianoid.com/about-us/events/gamescom-2025/..

evento gamescom cologne RELIANOID august
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@laura_garcia shared a post, 8 months, 1 week ago
Software Developer, RELIANOID

🚨 New SharePoint vulnerabilities under active attack

Microsoft has issued an alert for 4 serious CVEs affecting on-premises SharePoint servers. In our latest blog post, we explain the risks and how RELIANOID helps mitigate them with advanced reverse proxy, WAF, and security automation. 💡 Plus: RELIANOID is now available on Azure Marketplace for instan..

Lustre is an open-source, parallel distributed file system built for high-performance computing environments that require extremely fast, large-scale data access. Designed to serve thousands of compute nodes concurrently, Lustre enables HPC clusters to read and write data at multi-terabyte-per-second speeds while maintaining low latency and fault tolerance.

A Lustre deployment separates metadata and file data into distinct services—Metadata Servers (MDS) handling namespace operations and Object Storage Servers (OSS) serving file contents stored across multiple Object Storage Targets (OSTs). This architecture allows clients to access data in parallel, achieving performance far beyond traditional network file systems.

Widely adopted in scientific computing, supercomputing centers, weather modeling, genomics, and large-scale AI training, Lustre remains a foundational component of modern HPC stacks. It integrates with resource managers like Slurm, supports POSIX semantics, and is designed to scale from small clusters to some of the world’s fastest supercomputers.

With strong community and enterprise support, Lustre provides a mature, battle-tested solution for workloads that demand extreme I/O performance, massive concurrency, and petabyte-scale distributed storage.